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Evening Microsoft Azure Data Engineer Jobs in Clinton, MD

Azure Data Engineer

Fairfax, VA · On-site

$113.60K - $136.50K/yr

One or more Microsoft Azure Cloud Certifications (e.g., Azure Data Engineer Associate, Azure ... Solutions Architect, or Azure AI Engineer). * Enterprise-scale experience in: * Cloud and hybrid ...

Azure Data Engineer

Mclean, VA · On-site

$77.60K - $176K/yr

Azure Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and ... Experience with the Microsoft Azure Government cloud, including Microsoft Azure * Experience ...

Azure Data Engineer

Fairfax, VA · On-site

$113.60K - $136.50K/yr

One or more Microsoft Azure Cloud Certifications (e.g., Azure Data Engineer Associate, Azure ... Solutions Architect, or Azure AI Engineer). * Enterprise-scale experience in: * Cloud and hybrid ...

Data Engineer

Washington, DC · On-site

$129.60K - $155.70K/yr

Data Engineer The Data Engineer will be developing data integration solutions to support our ... The data integration solutions will be based on Microsoft Azure Data Factory with Snowflake and MS ...

Data Engineer

Arlington, VA

$131.90K - $158.40K/yr

Proficient in Microsoft Azure Storage Explorer, Azure DevOps, Azure Data Factory, Azure Databricks, Azure Data Lake Gen 2, Azure DevOps, Unity Catalog and Git * Experience in coding languages ...

Data Engineer

Arlington, VA · On-site

$131.70K - $158.20K/yr

Proficient in Microsoft Azure Storage Explorer, Azure DevOps, Azure Data Factory, Azure Databricks, Azure Data Lake Gen 2, Azure DevOps, Unity Catalog and Git * Experience in coding languages ...

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Evening Microsoft Azure Data Engineer information

See Clinton, MD salary details

$44.2K

$129K

$176.5K

How much do evening microsoft azure data engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for evening microsoft azure data engineer in Clinton, MD is $128,976.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,800.00 and $136,700.00 per year, depending on experience, location, and employer.

What is the difference between Evening Microsoft Azure Data Engineer vs Evening Data Analyst?

AspectEvening Microsoft Azure Data EngineerEvening Data Analyst
CertificationsAzure Data Engineer Associate, Microsoft Certified: Data Analyst Associate
Work EnvironmentCloud platforms, data pipelines, infrastructure management
Primary FocusDesigning and implementing data solutions on Azure
Tools & TechnologiesAzure Data Factory, Azure SQL, Spark, Python

While both roles involve working with data, the Evening Microsoft Azure Data Engineer focuses on building and managing data infrastructure on Azure, whereas the Evening Data Analyst interprets data to generate insights. The Data Engineer handles data pipelines and cloud services, while the Data Analyst emphasizes data visualization and reporting.

What are the most commonly searched types of Microsoft Azure Data Engineer jobs in Clinton, MD? The most popular types of Microsoft Azure Data Engineer jobs in Clinton, MD are:
What job categories do people searching Evening Microsoft Azure Data Engineer jobs in Clinton, MD look for? The top searched job categories for Evening Microsoft Azure Data Engineer jobs in Clinton, MD are:
What cities near Clinton, MD are hiring for Evening Microsoft Azure Data Engineer jobs? Cities near Clinton, MD with the most Evening Microsoft Azure Data Engineer job openings:

$113.60K - $136.50K/yr

Full-time

Posted 4 days ago


Job description

Plateau GRP is seeking an experienced Azure Data Engineer to support a major data modernization initiative for the Federal Deposit Insurance Corporation (FDIC). The selected candidate will play a key role in designing, implementing, and optimizing modern data platforms and analytics solutions in the Microsoft Azure environment.
This position requires a strong blend of technical expertise, consultative ability, and collaboration skills to work across diverse teams supporting data governance, cloud architecture, and advanced analytics efforts.
Key Responsibilities
  • Design and build scalable Azure-based data pipelines, architectures, and data services to support FDIC's modernization objectives.
  • Develop and maintain ETL/ELT workflows, data lake and warehouse structures, and data integration solutions.
  • Implement best practices for data governance, data quality, and metadata management within the Azure environment.
  • Collaborate with cross-functional teams to ensure secure, efficient, and compliant management of structured and unstructured data.
  • Support big data, advanced analytics, and reporting/dashboarding solutions using Azure cloud technologies.
  • Contribute to the design of cloud and hybrid infrastructure solutions, including serverless, containerized, and pay-per-use architectures.
  • Apply machine learning (ML) and MLOps practices to operationalize and monitor data science models.
  • Ensure enterprise-grade data security, access control, and cloud operations in alignment with FDIC standards.
  • Collaborate in Agile teams, providing technical insight and clear communication to both technical and non-technical stakeholders.

Requirements
Required Qualifications
  • BA/BS/MS in Computer Science, Engineering, or an equivalent combination of education and/or experience.
  • Minimum of 3 years of experience in technical roles such as developer, systems analyst, or data engineer.
  • This position requires US Citizenship and the ability to pass/obtain any required government background check or security clearance. An active security is preferred.
  • Strong consultative skills and ability to operate effectively across functional teams.
  • Excellent presentation and communication skills with a proven ability to translate complex technical concepts clearly.
  • Solid project and team management experience within Agile environments.
  • One or more Microsoft Azure Cloud Certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect, or Azure AI Engineer).
  • Enterprise-scale experience in:
  • Cloud and hybrid infrastructures
  • Enterprise solution architecture
  • Data pipelines and integration
  • Cloud and data security
  • Data management and cloud operations
  • Hands-on experience with:
  • Azure Data Factory, Synapse Analytics, Databricks, Data Lake, and Power BI
  • SQL and NoSQL database technologies
  • Serverless, container-based, and event-driven architectures
  • Big Data and Advanced Analytics in Azure environments
  • Data Governance, Data Engineering, and Data Science workflows
  • Machine Learning and MLOps best practices

Preferred Qualifications
  • Prior experience supporting federal data modernization or enterprise transformation programs.
  • Familiarity with DevOps and CI/CD pipelines in Azure environments.
  • Proficiency in Python, PySpark, SQL, or similar languages for data transformation and analysis.
  • Experience integrating AI and analytics solutions with data platforms.

Plateau does not accept unsolicited resumes from third-party recruiters without a signed third-party agreement. Any unsolicited third-party resumes forwarded by recruiters to Plateau or to any of our managers or employees will be considered public information, may be treated as a direct application from the person identified in the resume, and will not be eligible for placement fee payment to the agency.
EEO Statement:
Plateau is an equal opportunity/affirmative action employer; all qualified applicants will receive consideration for employment without regard to age, gender, gender identification, sex, sexual orientation, color, race, creed, national origin, religion, marital status, parental status, citizenship status, ancestry, physical or mental disability, genetic information, veteran status, military status, or any other classification protected by federal, state, or local laws.
Plateau is committed to providing access and reasonable accommodations for individuals with disabilities. If you require reasonable accommodation, please email the Plateau HR Department at hrteam@plateauinc.com
Plateau is a proud Equal Opportunity Employer! (M/F/Disability/Vets)